ONTOLOGY DRIVEN DICTIONARY GENERATION AND AMBIGUITY RESOLUTION FOR NATURAL LANGUAGE PROCESSING

摘要

A computer implemented method and system for natural language processing ambiguity resolution includes storing an ontology specifying a set of grammatical rules. A phrase comprising at least one current word to be processed is retrieved. A current word from the phrase is annotated with possible ontological classes according to the ontology. Any ontological rules associated with the possible ontological classes are retrieved. Ontological classes are eliminated based on the ontological rules. A surviving possible ontological class is determined to be an accurate ontological class for the current word. In another aspect of this disclosure, an ontology is stored in computer memory, the ontology having multiple ontological classifications, and word instances, each word instance associated with at least one of the ontological classifications. All word instances belonging to the selected ontological classification are retrieved.